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Research article summary (published 28 May 2009):

A multivariate CAR model for improving the estimation of relative risks.

Full Abstract

Disease mapping studies have been widely performed at univariate level, that is considering only one disease in the estimated models. Nonetheless, simultaneous modelling of different diseases can be a valuable tool both from the epidemiological and from the statistical point of view. In this paper we propose a model for multivariate disease mapping that generalizes the univariate conditional auto-regressive distribution. The proposed model is proven to be an effective alternative to existing multivariate models, mainly because it overcome some restrictive hypotheses underlying models previously proposed in this context. Model performances are checked via a simulation study and via application to a case study. (c) 2009 John Wiley & Sons, Ltd.

 

Author information

Author/s: Greco, Fedele P (FP); Trivisano, Carlo (C);

Affiliation: Department of Statistics P. Fortunati, University of Bologna, Italy. fedele.greco(-atsign-)unibo.it

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Statistics in medicine (Stat Med), published in England. (Language: eng)

Reference: 2009-May; vol 28 (issue 12) : pp 1707-24

Dates: Created 2009/05/07; Completed 2009/07/01;

PMID: 19308933, status: MEDLINE (last retrieval date: 7/1/2009, IMS Date: 01 Jul 2009 00:00:00)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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